A Review on Soil Classification using Machine Learning and Crop Suggestions
DOI:
https://doi.org//10.32628/CSEIT2390120Keywords:
Yield Prediction, Data sets, K-Nearest Neighbor(KNN) Algorithm and Support Vector Machine.Abstract
India is a primarily agricultural nation. Agriculture is currently the most significant emerging sector in the actual world and the key industry and economic pillar of our nation. The area of agricultural information technology has recently undergone significant changes that have made crop yield prediction an interesting research topic. Crop yield prediction is a technique for estimating crop yield using many characteristics, including temperature, rainfall, fertilizer, insecticides, and other climatic variables and parameters. The use of data mining tools is very common in agriculture. Agriculture uses data mining tools to forecast agricultural production for upcoming years and evaluates these techniques. This system provides an overview of the investigation of agricultural yield prediction using Support Vector Machines(SVM) and K-Nearest Neighbors (KNN).
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